Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization-Reference-Cited by-同舟云学术

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Long Short-Term Memory Network Assisted Evolutionary Algorithm for Computationally Expensive Multiobjective Optimization

Published:2023-12-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

He Cheng¹,Li Hongbin¹,Lin Jianqing²,Lu Zhichao³

Affiliation:

1. School of Electrical and Electronic Engineering, Huazhong University of Science and Technology,Wuhan,China

2. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Wuhan,China

3. City University,Department of Computer Science,Hong Kong,Hong Kong

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371889.pdf?arnumber=10371889

Reference31 articles.

1. Simulation in the design and operation of manufacturing systems: state of the art and new trends

2. Flow field prediction of supercritical airfoils via variational autoencoder based deep learning framework

3. Extremely low frequency‐based faulty line selection of low‐resistance grounding system

4. Evolutionary algorithms and their applications to engineering problems

5. Surrogate-assisted evolutionary computation: Recent advances and future challenges

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1. Deep Surrogate Network Enhancement of Non-dominated Sorting Genetic Algorithms for Improved Multi-objective Optimization;Mechanisms and Machine Science;2024

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